See a top-level view of all the information Correlation Engine has about a gene, SNP, sequence region, biogroup, bioset, phenotype, compound, tissue, or keyword.
See how your query term correlates with public genomic data from worldwide sources. Genomic Apps provide access to billions of precomputed data correlations that are scored, ranked, and categorized using Correlation Engine's algorithms and ontologies.
Discover which genes or biogroups are significantly regulated in common across up to 150 biosets of your choice. Search among all biosets in Correlation Engine to find those that correlate with a Meta-Analysis of up to 10 selected biosets.
View your experimental datasets in interactive displays that give a unique perspective to genomic data. (More Visual Apps are on their way.)
Visualize gene lists in Pathway Viewer by Elsevier and find relevant Canonical Pathways. Visually explore the interactions among your results in the context of Elsevier's literature-derived knowledgebase of published biological relationships linked to the corresponding literature..
Filter and export features by fold change, rank and more. Narrow down your results list with the application of data filters based on custom fold changes and direction of activity. Apply cut-offs to limit results to highest ranked, strongest p-values or test and control gene activities. Filtered gene lists can be used for bioset export, to create a new bioset, or to pass onto Pathway Viewer.
Interested in Next-Generation Sequencing analysis of gene expression in the public data-verse? Correlation Engine is now bringing in all the qualifying RNA expression by high throughput sequencing studies from the Gene Expression Omnibus. To quickly browse NGS data specifically, use the 'RNA-Seq Studies' button on the Curated Studies Quick Start page or include it as a criteria in the advanced Boolean search from the all curated studies page.
Body Atlas gene signature content has been expanded to include Next-generation sequencing analysis of RNA expression in 39 normal tissues from the Genotype-Tissue Expression project (GTEx). Select between array and RNA-seq sources of data when querying for tissue expression profiles or distributions of expression of a specific gene query across tissues.
Import your RNA-Seq data to Correlation Engine. Format your data signatures using RefSeq identifiers corresponding to the human hg19 March 6 2013, mouse mm10 May 3 2014, rat rn5 May 3 2014 genome build releases and have your data tabulated as a NGS platform in Correlation Engine. Using the RefSeq identifiers will identify your platform and allow for improved correlation analysis in the Correlation Engine apps.
Not sure where to begin? Get a comprehensive overview of everything Correlation Engine can tell you about your query term or imported dataset.
Access our continuously growing library of curated public genomic data. Query this app to see how your query term or imported dataset correlate with thousands of curated public studies.
Compare gene expression levels across hundreds of human and mouse tissues, cell types, cell lines, and stem cells.
Discover drugs and compounds whose genetic signature includes a particular gene or is enriched in an imported dataset.
Perform knockdown, knockout, or overexpression experiments in reverse: See which genetic perturbations affect a gene or imported dataset, and how.
Discover genes & SNPs found to be significant across multiple studies of a disease, compound, or tissue.
Find pathways, molecular functions, protein families, and biological processes that involve a gene or are enriched in an imported dataset.
Build a visual map of how experimental results line up with genomic elements, CNVs, SNPs, miRNA targets, and more.
Do a classic PubMed literature search, or search hundreds of biology- and health-related news sources.